Assessing Vegetation Phenology across Different Biomes in Temperate China—Comparing GIMMS and MODIS NDVI Datasets

• Published in: Remote sensing (Basel, Switzerland) Vol. 14; no. 23; p. 6180
• Main Authors: Xiao, Jiangtao, Huang, Ke, Lin, Yang, Ren, Ping, Zu, Jiaxing
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.12.2022
• Subjects: Archives & records; Atmospheric aerosols; Climate change; Clouds; Datasets; Ecosystems; Environmental impact; GIMMS and MODIS; Grasslands; Growing season; Meadows; Methods; MODIS; Normalized difference vegetative index; Phenology; Remote sensors; Seasonal variations; Senescence; Sensors; start/end of growing season; temperate China; Time series; time series: biomes; Trends; Vegetation; Vegetation patterns; vegetation phenology; Northern Hemisphere; Tibetan Plateau; China

Assessing vegetation phenology is very important for better understanding the impact of climate change on the ecosystem, and many vegetation index datasets from different remote sensors have been used to quantify vegetation phenology from a regional to global perspective. This study mainly analyzes...